Mac Studio (2023)
Geekbench AI Score
3995
Single Precision Score
27123
Half Precision Score
30039
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | alexeft |
| Upload Date | March 16 2026 06:10 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
15409
2.87 KIPS |
|
|
Image Classification (Q)
|
96% |
18060
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20127
326.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24240
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11969
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107565
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105678
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
99% |
16284
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
18328
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
36751
436.7 IPS |
|
|
Face Detection (Q)
|
100% |
47892
569.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
89310
688.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
112419
878.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25649
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206377
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
192685
248.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45828
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52178
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3183
55.0 IPS |
